How do I track LLM cost and tokens in Langfuse?

Langfuse provides built-in capabilities to measure and optimize crucial KPIs such as response times, token usage, and cost efficiency.

How do I enable or disable Langfuse tracing?

Langfuse offers straightforward configuration options for managing tracing in your application. Refer to the documentation for specific setup instructions based on your framework.

How do I use Langfuse in Serverless Functions?

Langfuse supports deployment in serverless environments including AWS Lambda, Vercel, and Cloudflare Workers.

How do I evaluate sessions or conversations?

Langfuse allows you to create evaluation datasets and track scores over time, perform A/B tests between different agent versions, and collect user feedback directly through the platform.

How do I retrieve experiment scores?

You can retrieve experiment scores via the UI or through the API/SDK.

Why are the input and output of a trace empty?

This is a common issue addressed in the troubleshooting documentation. If you encounter this, check your integration setup and ensure traces are being properly captured.

How do I manage different environments in Langfuse?

Langfuse provides tools to manage separate environments for development, staging, and production.

How do I enforce 2FA for all users?

This is configurable in the administration settings for enhanced security.

How do I invite co-workers to Langfuse?

You can invite team members to collaborate on your Langfuse projects through the administration panel.

What should I do if I have forgotten my password?

Use the password recovery option on the login page.

Are there any limits to the Langfuse API?

API rate limits and usage quotas are documented in the API section of the FAQ.

Why do I see 524 errors on Langfuse API calls?

This error is addressed in the troubleshooting section. Langfuse handles tens of thousands of events per minute while maintaining consistent low-latency responses (50-100ms on average).

How can I get instant answers to my questions?

Langfuse includes an AI assistant that helps you find answers about Langfuse's features, integrations, and best practices. It's trained on the documentation, GitHub discussions/issues, and API.

Langfuse

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Langfuse is an open-source platform that helps you understand how your AI applications are working. It lets you see what's happening inside your Large Language Model (LLM) apps, find problems, and test new versions to make them better and more efficient.

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Overview Features Use Cases FAQ Integrations Pricing

About Langfuse

Who It's For

Langfuse is for developers and teams building AI applications with Large Language Models (LLMs). It helps anyone who needs to see how their AI apps are performing, find problems, and make them more reliable and efficient.

What You Get

You get a clear picture of your AI application's activity. This includes tracking response times, token usage, and costs. You can also create tests to compare different AI versions, run A/B tests, and collect feedback to continuously improve your applications.

How It Works

Langfuse uses simple code (SDKs) to record every step your AI application takes. It captures full "traces" of interactions, letting you inspect failures easily. This helps you quickly debug issues and gather valuable data to build better AI models.

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Features & Capabilities

🔍 LLM Observability

Complete LLM Application Tracing

Captures full execution traces of LLM applications and agents for comprehensive visibility.

Failure Debugging & Inspection

Allows users to inspect traces to identify, understand, and debug application failures.

Evaluation Dataset Generation

Enables the creation of robust evaluation datasets directly from captured traces.

OpenTelemetry & Library Compatibility

Built on OpenTelemetry standards with support for all major LLM and agent libraries.

⚙️ Development & Deployment

Multi-language SDKs

Provides dedicated Software Development Kits for Python and JavaScript/TypeScript for easy integration.

Open Source & Self-Hosting

Offers the flexibility to run the platform locally or self-host for complete control.

Drop-in LLM Integrations

Features seamless, drop-in wrappers for popular LLM providers with automatic tracing.

🔒 Enterprise Security & Management

Enterprise SSO & RBAC

Supports Enterprise Single Sign-On (SSO) and fine-grained Role-Based Access Control for secure team management.

Audit Logs & SCIM API

Offers comprehensive audit logs and a SCIM API for advanced user provisioning and compliance.

Industry Compliance & Certifications

Achieves certifications like SOC 2 Type II, ISO 27001, GDPR compliance, and HIPAA alignment for enterprise readiness.

Use Cases

Debugging and Troubleshooting LLM Application Failures

Developers building complex LLM applications often struggle to identify the root cause of unexpected outputs or failures. Langfuse provides comprehensive tracing capabilities to capture every step of an LLM interaction, allowing teams to inspect failures, understand agent behavior, and quickly resolve issues to improve reliability.

B2B SaaSFor: AI Developers

Optimizing LLM Application Performance and Cost

As LLM applications scale, managing their operational costs and ensuring optimal performance becomes critical. Langfuse allows teams to track key performance indicators such as token usage, response times, and costs, enabling data-driven decisions to optimize resource consumption and enhance user experience.

TechnologyFor: ML Engineers

Systematic Evaluation and A/B Testing for LLM Agents

Iteratively improving LLM agents requires a robust framework for evaluating output quality and comparing different versions. Langfuse provides tools to create evaluation datasets, conduct LLM-as-a-judge experiments, track scores, and perform A/B tests, ensuring continuous improvement of AI models and features.

AI/ML DevelopmentFor: Data Scientists

Secure and Scalable Deployment of Production LLM Systems

Enterprises deploying LLM applications face challenges with security, compliance, and managing large-scale infrastructure. Langfuse supports secure self-hosting, offers enterprise-grade features like SOC 2 and GDPR compliance, SSO, and environment management, enabling organizations to confidently deploy and operate AI solutions at scale.

Enterprise TechnologyFor: DevOps Engineers

Frequently asked questions

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